package com.heima.article.service.impl;

import com.alibaba.fastjson.JSON;
import com.baomidou.mybatisplus.core.toolkit.Wrappers;
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
import com.heima.article.mapper.ApArticleConfigMapper;
import com.heima.article.mapper.ApArticleContentMapper;
import com.heima.article.mapper.ApArticleMapper;
import com.heima.article.service.ApArticleService;
import com.heima.article.service.ArticleFreemarkerService;
import com.heima.common.constants.ArticleConstants;
import com.heima.common.redis.CacheService;
import com.heima.model.article.dtos.ArticleDto;
import com.heima.model.article.dtos.ArticleHomeDto;
import com.heima.model.article.pojos.ApArticle;
import com.heima.model.article.pojos.ApArticleConfig;
import com.heima.model.article.pojos.ApArticleContent;
import com.heima.model.article.vos.HotArticleVo;
import com.heima.model.common.dtos.ResponseResult;
import com.heima.model.common.enums.AppHttpCodeEnum;
import com.heima.model.mess.ArticleVisitStreamMess;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang.StringUtils;
import org.springframework.beans.BeanUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;

import java.util.Comparator;
import java.util.Date;
import java.util.List;
import java.util.stream.Collectors;

@Service
@Transactional
@Slf4j
public class ApArticleServiceImpl extends ServiceImpl<ApArticleMapper, ApArticle> implements ApArticleService{
    @Autowired
    private ApArticleMapper apArticleMapper;

    private  final  static short MAX_PAGE_SIZE=50;
    /**
     * 加载文章列表
     * @param dto
     * @param type 1 加载更多 2 加载最新
     * @return
     */
    @Override
    public ResponseResult load(ArticleHomeDto dto, Short type) {
        //1检验参数
        //分页条数的检验
        Integer size = dto.getSize();
        if(size==null||size==0){
            size=10;//加默认
        }
        //分页的值不超过50
        size = Math.min(size, MAX_PAGE_SIZE);

        //检验type参数
        if(!type.equals(ArticleConstants.LOADTYPE_LOAD_MORE)&&!type.equals(ArticleConstants.LOADTYPE_LOAD_NEW)){
            type=ArticleConstants.LOADTYPE_LOAD_MORE;//加默认
        }

        //频道参数检验
        if(StringUtils.isBlank(dto.getTag())){
            dto.setTag(ArticleConstants.DEFAULT_TAG);//默认
        }
        //时间检验
        if(dto.getMinBehotTime()==null)dto.setMinBehotTime(new Date());
        if(dto.getMaxBehotTime()==null)dto.setMaxBehotTime(new Date());
        //查询
        List<ApArticle> apArticles = apArticleMapper.loadArticleList(dto, type);

        //返回结果
        return ResponseResult.okResult(apArticles);
    }

    @Autowired
    private ApArticleConfigMapper apArticleConfigMapper;

    @Autowired
    private ApArticleContentMapper apArticleContentMapper;

    @Autowired
    private ArticleFreemarkerService articleFreemarkerService;
    /**
     * 保存app端相关文章
     * @param dto
     * @return
     */
    @Override
    public ResponseResult saveArticle(ArticleDto dto) {

        //1检查参数
        if(dto==null){
            return ResponseResult.errorResult(AppHttpCodeEnum.PARAM_INVALID);
        }
        ApArticle apArticle = new ApArticle();
        BeanUtils.copyProperties(dto,apArticle);
        //2判断是否存在id
        if(dto.getId()==null){
            //2.1不存在id 保存 文章 文章配置 文章内容
            //保存文章
            save(apArticle);//这里调用会将apArticle的id填充
            //保存配置
            ApArticleConfig apArticleConfig = new ApArticleConfig(apArticle.getId());
            apArticleConfigMapper.insert(apArticleConfig);
            //保存 文章内容
            ApArticleContent apArticleContent = new ApArticleContent();
            apArticleContent.setArticleId(apArticle.getId());
            apArticleContent.setContent(dto.getContent());
            apArticleContentMapper.insert(apArticleContent);
        }
        else {
            //2.2 存在id 修改 文章 文章内容

            //修改 文章
            updateById(apArticle);

            //修改文章内容
            ApArticleContent apArticleContent = apArticleContentMapper.selectOne(Wrappers.<ApArticleContent>lambdaQuery().eq(ApArticleContent::getArticleId, dto.getId()));
            apArticleContent.setContent(dto.getContent());
            apArticleContentMapper.updateById(apArticleContent);
//            ApArticleContent apArticleContent1=new ApArticleContent();这一步我的做法，优点在于减轻数据库压力，缺点在于不具有普遍性，如果articleId也是需要改的，就会有问题
//            apArticleContent1.setArticleId(dto.getId());
//            apArticleContent1.setContent(dto.getContent());
//            apArticleContentMapper.updateById(apArticleContent1);
//            ApArticleContent apArticleContent = new ApArticleContent();  这是更好地优化，减少不必要的数据库操作
//            apArticleContent.setArticleId(newArticleId); // 设置新的 articleId
//            apArticleContent.setContent(dto.getContent()); // 设置新的 content
//
//            apArticleContentMapper.update(apArticleContent,
//                    Wrappers.<ApArticleContent>lambdaUpdate()
//                            .eq(ApArticleContent::getArticleId, dto.getId())); // 根据原有的 articleId 进行更新
        }

        //异步调用 生成静态文件上传到minio种
        articleFreemarkerService.buildArticleToMinIO(apArticle,dto.getContent());


        //3 结果返回 文章的id
        return ResponseResult.okResult(apArticle.getId());
    }
    @Autowired
    private CacheService cacheService;

    /**
     * @param dto
     * @param type      1 加载更多 2 加载最新
     * @param firstPage true 是首页 false 非首页
     * @return
     */
    @Override
    public ResponseResult load2(ArticleHomeDto dto, Short type, boolean firstPage) {
        if(firstPage){
            String jsonStr = cacheService.get(ArticleConstants.HOT_ARTICLE_FIRST_PAGE + dto.getTag());
            if(StringUtils.isNotBlank(jsonStr)){
                List<HotArticleVo> hotArticleVoList = JSON.parseArray(jsonStr, HotArticleVo.class);
                return ResponseResult.okResult(hotArticleVoList);
            }
        }
        return load(dto,type);
    }

    /**
     * 更新文章的分值  同时更新缓存中的热点文章数据
     * @param mess
     */
    @Override
    public void updateScore(ArticleVisitStreamMess mess) {
        //1.更新文章的阅读、点赞、收藏、评论的数量
        ApArticle apArticle = updateArticle(mess);
        //2.计算文章的分值
        Integer score = computeScore(apArticle);
        score = score * 3;

        //3.替换当前文章对应频道的热点数据
        replaceDataToRedis(apArticle, score, ArticleConstants.HOT_ARTICLE_FIRST_PAGE + apArticle.getChannelId());

        //4.替换推荐对应的热点数据
        replaceDataToRedis(apArticle, score, ArticleConstants.HOT_ARTICLE_FIRST_PAGE + ArticleConstants.DEFAULT_TAG);

    }

    /**
     * 替换数据并且存入到redis
     * @param apArticle
     * @param score
     * @param s
     */
    private void replaceDataToRedis(ApArticle apArticle, Integer score, String s) {
        String articleListStr = cacheService.get(s);
        if (StringUtils.isNotBlank(articleListStr)) {
            List<HotArticleVo> hotArticleVoList = JSON.parseArray(articleListStr, HotArticleVo.class);

            boolean flag = true;

            //如果缓存中存在该文章，只更新分值
            for (HotArticleVo hotArticleVo : hotArticleVoList) {
                if (hotArticleVo.getId().equals(apArticle.getId())) {
                    hotArticleVo.setScore(score);
                    flag = false;
                    break;
                }
            }

            //如果缓存中不存在，查询缓存中分值最小的一条数据，进行分值的比较，如果当前文章的分值大于缓存中的数据，就替换
            if (flag) {
                if (hotArticleVoList.size() >= 30) {
                    hotArticleVoList = hotArticleVoList.stream().sorted(Comparator.comparing(HotArticleVo::getScore).reversed()).collect(Collectors.toList());
                    HotArticleVo lastHot = hotArticleVoList.get(hotArticleVoList.size() - 1);
                    if (lastHot.getScore() < score) {
                        hotArticleVoList.remove(lastHot);
                        HotArticleVo hot = new HotArticleVo();
                        BeanUtils.copyProperties(apArticle, hot);
                        hot.setScore(score);
                        hotArticleVoList.add(hot);
                    }


                } else {
                    HotArticleVo hot = new HotArticleVo();
                    BeanUtils.copyProperties(apArticle, hot);
                    hot.setScore(score);
                    hotArticleVoList.add(hot);
                }
            }
            //缓存到redis
            hotArticleVoList = hotArticleVoList.stream().sorted(Comparator.comparing(HotArticleVo::getScore).reversed()).collect(Collectors.toList());
            cacheService.set(s, JSON.toJSONString(hotArticleVoList));

        }
        else{
            //如果缓存中没有数据，比如在一天之内新增了一个频道并且新增了这个频道的文章，那么我们缓存中没有这个频道的热点数据，我们也要更新这个频道的热点数据
            //待完成，
            //参考定时更新热点数据
            System.out.println("功能待开发");
//            return ResponseResult.errorResult(AppHttpCodeEnum.SERVER_ERROR,"功能待开发,详细请关注后台");
        }
    }

    /**
     * 更新文章行为数量
     * @param mess
     */
    private ApArticle updateArticle(ArticleVisitStreamMess mess) {
        ApArticle apArticle = getById(mess.getArticleId());
        apArticle.setCollection(apArticle.getCollection()==null?0:apArticle.getCollection()+mess.getCollect());
        apArticle.setComment(apArticle.getComment()==null?0:apArticle.getComment()+mess.getComment());
        apArticle.setLikes(apArticle.getLikes()==null?0:apArticle.getLikes()+mess.getLike());
        apArticle.setViews(apArticle.getViews()==null?0:apArticle.getViews()+mess.getView());
        updateById(apArticle);
        return apArticle;

    }

    /**
     * 计算文章的具体分值
     * @param apArticle
     * @return
     */
    private Integer computeScore(ApArticle apArticle) {
        Integer score = 0;
        if(apArticle.getLikes() != null){
            score += apArticle.getLikes() * ArticleConstants.HOT_ARTICLE_LIKE_WEIGHT;
        }
        if(apArticle.getViews() != null){
            score += apArticle.getViews();
        }
        if(apArticle.getComment() != null){
            score += apArticle.getComment() * ArticleConstants.HOT_ARTICLE_COMMENT_WEIGHT;
        }
        if(apArticle.getCollection() != null){
            score += apArticle.getCollection() * ArticleConstants.HOT_ARTICLE_COLLECTION_WEIGHT;
        }

        return score;
    }
}
